Development of Fuzzy Enabled Coverage Hole Detection Algorithm in Wireless Sensor Networks

Robinson, Y. Harold; Lawrence, T. Samraj; Julie, E. Golden; Vimal, S.

doi:10.1007/s11277-021-08424-0

Cited by 11 publications

(5 citation statements)

References 37 publications

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“…50,51 Very few studies have addressed this problem especially using fuzzy logic. Robinson et al 52 proposed fuzzy-enabled coverage hole detection algorithm for WSNs. The algorithm performs both coverage hole detection and healing, where the coverage holes are detected with the help of a FIS.…”

Section: Referencementioning

confidence: 99%

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Verma

Bhatia

Zeadally

et al. 2023

Int J Communication

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SummaryA wireless sensor network (WSN) is a network of tiny sensors deployed to collect data. These sensors are powered with batteries that have limited power. Recharging and/or replacement of these batteries, however, are not always feasible. Over the past few years, WSN applications are being deployed in diverse fields such as military, manufacturing, healthcare, agriculture, and so on. With the ever‐increasing applications of WSNs, improving the energy efficiency of the WSNs still remains to be a challenge. Applying fuzzy logic to the problem of clustering exploits the uncertainty associated with the factors that affect the lifetime of these sensors and enables the development of models that would improve their performance in real‐world applications. We present a comprehensive review of various fuzzy‐based techniques for clustering in WSNs whose main goal is to optimize energy usage in WSNs while simultaneously improving their overall performance.

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Section: Referencementioning

confidence: 99%

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Verma

Bhatia

Zeadally

et al. 2023

Int J Communication

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“…Fuzzy logic is used to find out which node can recover the hole, and finally the optimal route for data communication is selected according to the emperor penguin algorithm, which effectively solved the problems arising in the field of agriculture. Y. Harold Robinson et al [30] constructed communication links between sensor nodes through paths and used the level of connectivity as the basis for hole detection. They also used a multi-attribute function constructed by fuzzy rules to compromise on hole events, effectively improving the efficiency of hole detection.…”

Section: Related Workmentioning

confidence: 99%

DHD-MEPO: A Novel Distributed Coverage Hole Detection and Repair Method for Three-Dimensional Hybrid Wireless Sensor Networks

Gou

Guo

et al. 2023

Electronics

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A coverage hole is a problem that cannot be completely avoided in three-dimensional hybrid wireless sensor networks. It can lead to hindrances in monitoring tasks and adversely affect network performance. To address the problem of coverage holes caused by the uneven initial deployment of the network and node damage during operation, we propose a distributed hole detection and multi-objective optimization emperor penguin repair algorithm (DHD-MEPO). In the detection phase, the monitoring region is zoned as units according to the quantity of nodes and the sensing range, and static nodes use the sum-of-weights method to campaign for group nodes on their terms, determining the location of holes by calculating the coverage of each cell. In the repair phase, the set of repair nodes is determined by calculating the mobile node coverage redundancy. Based on the characteristics of complex environments, the regions of high hole levels are prioritized. Moreover, the residual energy homogeneity of nodes is considered for the design of multi-objective functions. A lens-imaging mapping learning strategy is introduced to perturb the location of repair nodes for the optimization of the emperor penguin algorithm. Experimental results illustrate that the DHD-MEPO, compared with the C-CICHH, 3D-VPCA, RA, EMSCOLER, and IERP algorithms, can balance the uniformity of the residual energy of each node while satisfying the network coverage requirements and network connectivity, which effectively improves the network coverage performance.

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“…Robinson et al proposed a coverage blind area detection algorithm based on fuzzy theory. e algorithm can find the coverage blind areas in the network and has a good detection effect on the coverage blind areas in the monitoring areas of wireless sensor networks with different parameters [26].…”

Section: Related Workmentioning

confidence: 99%

Coverage Blind Area Repair Based on Perceived Multimedia Data Driven in Mobile Wireless Sensor Networks

Liu

2022

Advances in Multimedia

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Wireless sensor networks deploy a large number of wireless sensor nodes in the monitoring area to complete the target monitoring task. The coverage effect is an important index to evaluate wireless sensor networks. The effect of network coverage is realized by the wireless sensor nodes deployed in the monitoring area, because the reasonable deployment of sensor nodes can affect the accuracy, reliability, real time, and integrity of monitoring target data collection. The main purpose of network coverage is to use the least number of wireless sensor nodes to complete the monitoring task of targets in the monitoring area and to avoid the emergence of coverage blind areas. Random node deployment, electronic equipment failure, software error, fire spread, flood, and other phenomena may lead to large-scale failure of wireless sensor nodes. For the failure of some nodes, the phenomenon of coverage blind area appears in the network. In order to repair the coverage blind area in the network, a coverage blind area repair algorithm for wireless sensor networks is proposed in this article. The coverage blind area attracts the nodes, makes the nodes move, and repairs the coverage blind area in the network.

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Development of Fuzzy Enabled Coverage Hole Detection Algorithm in Wireless Sensor Networks

Cited by 11 publications

References 37 publications

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

DHD-MEPO: A Novel Distributed Coverage Hole Detection and Repair Method for Three-Dimensional Hybrid Wireless Sensor Networks

Coverage Blind Area Repair Based on Perceived Multimedia Data Driven in Mobile Wireless Sensor Networks

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